Databricks, the Data and AI company and pioneer of the data lakehouse architecture, announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing.
How ML Powers Data Access Governance with Immuta & Databricks
January 28, 2021 by
If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.
Databricks Launches SQL Analytics to Enable Cloud Data Warehousing on Data Lakes
November 14, 2020 by
Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data lake. This expands the traditional scope of the data lake from data science and machine learning to include all data workloads including Business Intelligence (BI) and SQL.
StreamSets Launches StreamSets Transformer
September 15, 2019 by
StreamSets, Inc., provider of the DataOps platform for modern data integration, released StreamSets® Transformer, a simple-to-use, drag-and-drop UI tool to create native Apache Spark applications. Designed for a wide range of users — even those without specialized skills — StreamSets Transformer enables the creation of pipelines for performing ETL, stream processing and machine-learning operations. Now, data engineers, scientists, architects and operators gain deep visibility into the execution of Apache Spark while broadening usage across the business.
Addressing Governmental Challenges when Engaging AI, ML and Data Analytics
June 19, 2019 by
Gartner recently stated that all industries and levels of government agree the top three game-changing technologies today are AI/machine learning, data analytics/predictive analytics and cloud technologies. However, there are some primary sticking points when it comes to innovation in these areas. Government organizations continue to encounter challenges when trying to pursue these initiatives due to complex security and compliance requirements, poor scalability of legacy IT infrastructure, and perceived risks associated with cloud and IT modernization efforts. How can these challenges be addressed?
The Future of Open Source Big Data Platforms
June 14, 2019 by
Three well-funded startups – Cloudera Inc., Hortonworks Inc., and MapR Technologies Inc. — emerged a decade ago to commercialize products and services in the open-source ecosystem around Hadoop, a popular software framework for processing huge amounts of data. The hype peaked in early 2014 when Cloudera raised a massive $900 million funding round, valuing it […]
Informatica Announces Enterprise Data Catalog Integrations With Microsoft, Tableau, and Databricks
May 26, 2019 by
Informatica, the enterprise cloud data management leader, announced the industry’s most comprehensive enterprise-scale intelligent data catalog, enhanced with technology innovations and tight strategic-partner integrations. The Informatica® Enterprise Data Catalog (EDC) creates a “catalog of catalogs” with AI-driven data discovery across multi-cloud and hybrid environments, providing broad metadata connectivity to support organizations in driving their data-driven digital transformations.
Databricks Open Sources Delta Lake for Data Lake Reliability
April 27, 2019 by
Databricks, a leader in Unified Analytics and founded by the original creators of Apache Spark™, announced a new open source project called Delta Lake to deliver reliability to data lakes. Delta Lake is the first production-ready open source technology to provide data lake reliability for both batch and streaming data. This new open source project will enable organizations to transform their existing messy data lakes into clean Delta Lakes with high quality data, thereby accelerating their data and machine learning initiatives.
Data and AI Experts Share Predictions with Databricks: What the Future Holds for AI, Big Data and Analytics
January 27, 2019 by
Databricks, a leader in unified analytics and founded by the original creators of Apache Spark™, sees 2019 as the year that more companies solve the world’s toughest data problems that have hindered AI initiatives across industries. This perspective is shared by data thought leaders who advise on AI, big data and analytics trends that inspired them in 2018, and those on the horizon for 2019.
New Guide Offers Databricks Unified Analytics Platform Machine Learning Use Cases
January 3, 2019 by
The fields of machine learning and deep learning are on the brink of unprecedented breakthroughs across a variety of verticals. And according to a new report from Databricks, “data is the new fuel,” for these market advancements. Download the new white paper today, “Four Real-Life Machine Learning Use Cases,” to explore Databricks Unified Analytics Platform use cases in the advertising, loan servicing, media industries and more.
